gr_gv100_init_hwpm_pmm_register() and gr_gv100_set_pmm_register() right
now assume common chiplet stride for all sys/fbp/gpc and use common API
g->ops.perf.get_pmm_per_chiplet_offset() to get the stride.
Chiplet strides are same for all partitions only by chance, and future
chip might change that.
Hence add and use below 3 separate HALs to get appropriate strides.
g->ops.perf.get_pmmsys_per_chiplet_offset()
g->ops.perf.get_pmmgpc_per_chiplet_offset()
g->ops.perf.get_pmmfbp_per_chiplet_offset()
Also store sys/fbp/gpc perfmon count in struct gk20a after first query
instead of querying them again and again. Querying the counts from HW
is time consuming.
Bug 2510974
Jira NVGPU-5360
Change-Id: I186009221009780d561617c0cd6f535854db585f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2413108
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
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Reviewed-by: Antony Clince Alex <aalex@nvidia.com>
Reviewed-by: Alex Waterman <alexw@nvidia.com>
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GVS: Gerrit_Virtual_Submit
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Legacy profiler does not reserve PMA stream resource with PM
reservation system. Also, HWPM system reset is separately implemented
in membuf disable path. And it does not even restore perf unit SLCG
prod values.
Allcoate a dummy profiler object for debug session in perfbuf map
path. Free it in perfbuf unmap path.
This has advantage of synchronizing PMA stream reservation with new
profiler stack. And this also leverages HWPM system reset and SLCG
handling code during resource reservation.
Remove explicit HWPM reset from gops.perf.membuf_reset_streaming()
HALs
Bug 2510974
Jira NVGPU-5360
Change-Id: I54c5202b6251dea3d80a4dfc011e8a296339e07f
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2399595
Reviewed-by: automaticguardword <automaticguardword@nvidia.com>
Reviewed-by: svc-mobile-coverity <svc-mobile-coverity@nvidia.com>
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Reviewed-by: Alex Waterman <alexw@nvidia.com>
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gk20a_perfbuf_map() allocates perfbuf VM, maps the user buffer into new
VM, and then triggers gops.perfbuf.perfbuf_enable(). This HAL then does
following :
- Allocate perfbuf instance block
- Initialize perfbuf instance block
- Reset stream buffer
- Program instance block address in PMA registers
- Program user buffer address into PMA registers
New profiler interface will have it's own API to setup PMA strem, and
it requires above setup to be done in two phases of perfbuf
initialization and then user buffer setup.
Split above functionalities into below functions
- nvgpu_perfbuf_init_vm()
- Allocate perfbuf VM
- Call gops.perfbuf.init_inst_block() to initialize perfbuf instance
block
- gops.perfbuf.init_inst_block()
- Allocate perfbuf instance block
- Initialize perfbuf instance block
- Program instance block address in PMA registers using
gops.perf.init_inst_block()
- In case of vGPU, trigger TEGRA_VGPU_CMD_PERFBUF_INST_BLOCK_MGT
command to gpu server
- gops.perf.init_inst_block()
- Reset stream buffer
- Program user buffer address into PMA registers
Also add corresponding cleanup functions as below :
gops.perf.deinit_inst_block()
gops.perfbuf.deinit_inst_block()
nvgpu_perfbuf_deinit_vm()
Bug 2510974
Jira NVGPU-5360
Change-Id: I486370f21012cbb7fea84fe46fb16db95bc16790
Signed-off-by: Deepak Nibade <dnibade@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/c/linux-nvgpu/+/2372984
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gk20a.h will include gops_mc.h to contain the mc ops definitions. Add
doxygen comments for the HAL functions that are called directly.
Also move mc_gp10b_intr_pmu_unit_config to non-fusa HAL file.
JIRA NVGPU-2524
Change-Id: I4f326332d7842211b004b372d79fac9fe6ed40e7
Signed-off-by: Sagar Kamble <skamble@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2226017
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nvgpu.common.unit was just an enum used for passing to nvgpu.common.mc
APIs. So, move the enum into mc.h, and replace the include of unit.h
with mc.h where appropriate. And update the yaml arch.
JIRA NVGPU-4144
Change-Id: I210ea4d3b49cd494e43add1b52f3fbcdb020a1e3
Signed-off-by: Philip Elcan <pelcan@nvidia.com>
Reviewed-on: https://git-master.nvidia.com/r/2216106
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